Hi dexX7,
Yay, I really support this.

I played a bit around with the
Laspeyres formula and I'm not sure, if this is correct: I took BTCGARDEN, LABCOIN, ACTIVEMINING, COGNITIVE, ASICMINER-PT (no BASIC because split and simplicity...) and used the current number of issued shares as basis. This is not ideal, but I don't have data on historical numbers of issued shares and this is experimental anyway.
The share prices were grouped into 1 hour groups for each asset and I calculated the index output like this:
p
0 = BTCGARDEN price
n * 2000000 + ... + ASICMINER-PT 1 hour price
n * 26006
p
1 = BTCGARDEN price
n +1 * 2000000 + ... + ASICMINER-PT 1 hour price
n +1 * 26006
index value = p
1 / p
0 * 100.
Highly interesting. I need a more flexible charting engine (ClarkMoody style would be awesome), plus focus on getting historical data in there as a priority.
Brainstorming:
- Exclude company held shares
- Get historical outstanding share data
- Which assets should be included?
- What is a more realistic model for a representation of the market?
- Fetch data from other exchanges
I don't have a very financial background and to be honest, I'm not even sure, where this leads, but one thing is for sure: it's time for the next level! A general overview of the Bitcoin markets is only the beginning and this thread by Smidged is the initial experiment to accomplish this.

Any input and discussion is very welcomed.
I think historical data is a quick win, plus I received the suggestion to add Moving Averages.
Get data from other exchanges would increase the number of price fixings (=liquidity).